Hello author,
Thanks for the release of the code related to your paper "Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima" accepted by NIPS2021, which solved FSCIL problem from a specific view. After reading and runing some code related to the classifical methods like: iCaRL, LUCIR, CEC and so on. Some questions are raised as follows.
1. pretraind weights. When training on CUB200-2011 dataset, In TOPIC and CEC, the author create the pipeline and initialize the resnet-18 network by using weights pretrained on ImageNet provided by offical pytorch library. In F2M, a specific pretrained weights " ./exp/ImageNet_bases1000/CFRPModel_res18_ImageNet_all_{1e-2}_SGD_001/models/best_net_latest.pth" is adopted, which may provide a strong knowledge baseline for further experiments. Could auther release this pretrained model ?
2. Code missing. Some code might be missing, like MT_Model, CFRPModel also the incremental_training code in F2MModel. Could author release these code?
Thanks.